ORIE 5270

ORIE 5270

Course information provided by the 2020-2021 Catalog.

This course offers a broad overview of computational techniques and mathematical skills useful for data scientists. Topics include: unix shell, regular expressions, version control: (git), data structures and algorithms, working with databases, data analysis using Python and related libraries (Pandas, NumPy/Scipy, scikit-learn), parallel computing (Map-Reduce, Spark, Hadoop), basic finite-precision arithmetic, an overview of standard machine learning and optimization algorithms, and time-permitting, a guided tour of functional programming.  


Permission Note Enrollment limited to: ORIE M.Eng. students.

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Graded

  • 13677 ORIE 5270   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • Charisopoulos, V

  • Instruction Mode: Online

    Restricted to ORIE MEng students.